Amazon RDS vs Google Cloud SQL comparison

Amazon Web Services (AWS) and Google are both solutions in the Database as a Service (DBaaS) category. Amazon Web Services (AWS) is ranked #2 with an average rating of 8.3, while Google is ranked #6 with an average rating of 7.9. Amazon Web Services (AWS) holds a 11.8% mindshare in DS, compared to Google’s 7.4% mindshare. Additionally, 98% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Amazon RDS

Read 58 Amazon RDS reviews

4,538 Views
4,266 Comparison Views

98% willing to recommend

Google Cloud SQL

Read 24 Google Cloud SQL reviews

2,805 Views
2,609 Comparison Views

100% willing to recommend

Amazon RDS

Google Cloud SQL

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Executive SummaryUpdated on Feb 8, 2026

Amazon RDS and Google Cloud SQL are competitors in the cloud-based database services category. Amazon RDS seems to have the upper hand in deployment agility and availability, while Google Cloud SQL shines in cost-effectiveness and management simplicity.

Features: Amazon RDS is praised for easy database creation, seamless integration with AWS services, and its ability to support multiple database engines like MySQL, Oracle, SQL Server, and Amazon Aurora. It also offers automated CI/CD tools, serverless options, and high resilience. Google Cloud SQL is appreciated for its automatic backups, high availability, and strong data protection. It ensures seamless integration with GCP services and provides a user-friendly, cost-effective solution for managing various data needs.

Room for Improvement: Amazon RDS could benefit from simplifying configuration complexities, enhancing shell access, and offering expanded support for more database engines. Cost management features also require improvement. Google Cloud SQL should improve integration with external data sources and provide more intuitive data analysis tools. Users have also noted a need for enhanced documentation and support for high-end I/O operations.

Ease of Deployment and Customer Service: Amazon RDS is favored for its straightforward deployment in the cloud, though it receives criticism for the responsiveness of its technical support without premium options. Google Cloud SQL is acknowledged for effective support services, yet there is room for improvement in initial response times and documentation clarity. Both platforms offer sufficient support, with premium services recommended for complex issues.

Pricing and ROI: Amazon RDS has mixed reviews on pricing, attributed to high costs that are often justified by operational savings and scalability benefits. Its pay-as-you-go model is beneficial, but unexpected expenses necessitate careful cost monitoring. Google Cloud SQL is competitively priced, offering predictable and lower costs, making it an attractive option. Both services assure ROI, with Amazon RDS's comprehensive management and high availability adding to its value proposition.

To learn more, read our detailed Amazon RDS vs. Google Cloud SQL Report (Updated: April 2026).

Buyer's Guide

Amazon RDS vs. Google Cloud SQL

April 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon RDS

Ranking in Database as a Service (DBaaS)

2nd

Ranking in Relational Databases Tools

9th

Average Rating

8.4

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud SQL

Ranking in Database as a Service (DBaaS)

6th

Ranking in Relational Databases Tools

18th

Average Rating

8.2

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Database Management Systems (DBMS) (9th)

Mindshare comparison

As of April 2026, in the Database as a Service (DBaaS) category, the mindshare of Amazon RDS is 11.8%, down from 25.1% compared to the previous year. The mindshare of Google Cloud SQL is 7.4%, down from 16.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
Amazon RDS	11.8%
Google Cloud SQL	7.4%
Other	80.8%

Database as a Service (DBaaS)

Featured Reviews

Baqir Sajjad

AWS Architect at Virtual University

Customer support and automated backups offer reliability while ease of deployment enhances user experience

The features of Amazon RDS that I have found most valuable include web and mobile applications, enterprise applications, data warehousing and analytics, and software as a service platforms, along with dev testing environments, disaster recoveries, and backups. The mobile app backend and development environment is also the best feature for database management for my customers. Database management is effective in Amazon RDS because it offers automated backups, high availability, read replicas, and support from multiple database engineers, while also providing security, monitoring and metrics, scalability. We are using snapshots and database migrations as well as performance optimization. The impact of Amazon RDS scalability and backup has been positive, with good vertical scaling, scale up and down, horizontal scaling, and storage scaling. The performance was good and availability helped with reducing downtime.

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Rituraj NSIT

SDE 2 at Virtusa

Drag and drop workflows have simplified data mapping and currently improve my cloud database work

The IPaaS Connector, which I have found most valuable, is part of Google Cloud SQL. Google Cloud's user interface is really good, which improves efficiency in my database operations. The UI is excellent, making it easier to understand what we are doing. Currently, I am working on IPaaS Connector, so it is really just a clickable interface without writing any code. I simply use drag and drop and connecting lines, and it is working. Google Cloud SQL's global infrastructure improves our database's latency metrics because we are using Gemini in our project. Since both are products of Google, it makes our product faster.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The time to install or set up a database environment is very fast."

"The provisioning is much faster, you don't have to prepare hardware or install software, you just need to create an instance and you have a database."

"Relational databases excel in extensive normalization, eliminating data redundancy and efficiently structuring tables which leads to a clear and efficient relationship between tables using primary keys."

"For me, RDS is a great solution, and I like that Amazon RDS is a very simple solution to implement and to start using."

"Maintenance is fully automatic (backups, monitoring, and patches)."

"The most valuable features of the solution stem from the fact that it requires an easy setup phase, and it is also easy to use while not being too heavy on its users."

"Amazon RDS is very easy to use."

"Amazon RDS fulfills PCI requirements, which is a valuable feature for us."

More Amazon RDS pros

"Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed."

"The solution is easy to use. I am impressed with the tool's features and functionality."

"It's all built into the web browser, so any operating system will work."

"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."

"The most valuable feature for us is the Postgres on Google Cloud SQL since it supports most of the features we need."

"The deployment model allows for significant control and flexibility."

"The main benefit to our organization is the fact that we no longer need DB admins that take care of the physical servers, backups etc... All this is managed by GCP."

"It directly provides robust data safety. It also offers various other storage options, such as Google Cloud Storage. These services ensure data security and redundancy. Furthermore, it includes different storage classes, allowing flexible data management tailored to specific needs."

More Google Cloud SQL pros

Cons

"If we do not keep track of our costs, we might face some problems."

"They should add a feature for manual SQL patching in RDS."

"It would be better if it integrated seamlessly with Microsoft products."

"The technical support from Amazon could improve. I would rate them a six out of ten as they do not fully meet my expectations."

"User interface needs improvement for using IPS and CloudWatch to scale and utilize read replicas, enabling performance insights to view query formats where the bottlenecks occur, identifying the fixes, slow queries, and missing indexes, improving the security and monitoring with alerts."

"I don't think it's very scalable. In comparison, Microsoft Azure has many options."

"A lot of the features are disabled by default. The solution should enable more features."

"The performance is not always as good as MySQL running on its own EC2 instance."

More Amazon RDS cons

"The only thing that could be better is the pricing."

"For data analysis, the AI area of the product has certain shortcomings where improvements are required."

"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL."

"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential."

"For write operations – yes, as there is no MySQL clustering mode."

"The monitoring part could be better."

"The overall documentation and the connectors need improvement."

"The only room for improvement here is that they need to connect to more existing data sources so that it becomes easier for a layman to get a more realistic understanding of what's happening."

More Google Cloud SQL cons

Pricing and Cost Advice

"Amazon RDS is cheaper compared to other tools."

"The platform pricing is on the higher side, but given its capabilities and ease of use, it remains competitive."

"The solution is expensive."

"Licensing fees are paid on an annual basis."

"The pricing of RDS is a little bit high compared to Microsoft... However, it is a good price compared to other solutions."

"The price of Amazon RDS is reasonable."

"The solution’s pricing could be cheaper."

"We are paying for a service license."

More Amazon RDS pricing and cost advice

"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."

"The pricing is very much an important factor as to why we use this solution."

"You need to pay extra costs for backup and replication."

"From a financial perspective, Google Cloud SQL is on the cheaper side."

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."

"The solution is affordable."

"It is not expensive, especially considering the significant reduction in database management time."

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Top Industries

By visitors reading reviews

Computer Software Company

10%

Financial Services Firm

10%

University

Manufacturing Company

Financial Services Firm

15%

Educational Organization

12%

Computer Software Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	22
Midsize Enterprise	16
Large Enterprise	22

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	10

Questions from the Community

What is your experience regarding pricing and costs for Amazon RDS?

The pricing for Amazon RDS is reasonable.

See all answers

What needs improvement with Amazon RDS?

Currently, I cannot think of any major improvements. Perhaps more platforms in terms of database engine versions would be beneficial. Right now, Amazon RDS supports MySQL and PostgreSQL, but there ...

See all answers

What is your primary use case for Amazon RDS?

I am a Solutions Architect, so I design solutions for our clients. Prior to this role, I was an implementation engineer, so I also implement solutions for our customers.

See all answers

What is your experience regarding pricing and costs for Google Cloud SQL?

We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.

See all answers

What needs improvement with Google Cloud SQL?

Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive. From a user perspective, if Google Cloud SQL integrated AI directly into the query so tha...

See all answers

What is your primary use case for Google Cloud SQL?

I have been using Google Cloud SQL for two or three years since I started.

See all answers

Comparisons

MongoDB Atlas vs Amazon RDS

Compared 15% of the time

Microsoft Azure SQL Database vs Amazon RDS

Compared 11% of the time

Oracle Database as a Service vs Amazon RDS

Compared 8% of the time

Yugabyte Cloud vs Amazon RDS

Compared 7% of the time

Oracle Exadata Cloud at Customer vs Amazon RDS

Compared 5% of the time

More Amazon RDS Competitors

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 22% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 15% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 6% of the time

Oracle Database as a Service vs Google Cloud SQL

Compared 5% of the time

Amazon Aurora vs Google Cloud SQL

Compared 5% of the time

More Google Cloud SQL Competitors

Product Reports

Buyer's Guide

Amazon RDS

April 2026

Download Amazon RDS product report

Buyer's Guide

Google Cloud SQL

April 2026

Download Google Cloud SQL product report

Also Known As

RDS

No data available

Overview

Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizeable capacity for an industry-standard relational database and manages common database administration tasks.

Amazon Web Services (AWS)

Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.

Google

Sample Customers

Edmodo

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync

Buyer's Guide

Amazon RDS vs. Google Cloud SQL

April 2026

Free Report: Amazon RDS vs. Google Cloud SQL

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